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2004

70 record(s)
 
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  • This data set details the range of treatments applied to experimental plots at a field site at Sourhope, Scotland, between 1999 and 2004. The data can be used in conjunction with other experimental data sets from the NERC Soil Biodiversity Thematic Programme site as an explanatory variable. The NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/a83ca49d-a78d-4c64-a646-68e44438a2b6

  • This dataset comprises the raster scans used as source information for capturing DiGMap 1:50000 scale data. The majority were processed under contract in India. Additions have been made. The images are georeferenced.

  • The dataset comprises maps and aerial photographs of the Falkland Islands. The maps are printers films and final paper printed originals of Falkland Islands OS maps, compiled for the Falkland Islands Government and the Foreign and Commonwealth Office by the Overseas Directorate of the Ordnance Survey. They were discarded by the Ordnance Survey around 2004, and offered to BGS for storage on behalf of the Falkland Islands Government. The Falkland Islands Government retains copyright interest in the maps. There are no access or usage constraints for BGS staff for BGS purposes. The aerial photographs and associated paper overlays represent copies of field slips of geological maps that were compiled by BGS under contract to the Falkland Islands Government. Copyright remains with the Falkland Islands Government , but there are no access or usage constraints for BGS staff for BGS purposes. Access to both datasets are restricted to BGS staff.

  • THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For Arsenic in soil data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for arsenic in soil. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared. Published in Britain beneath our feet atlas.

  • PROJECT DETAILS ONLY - NO DATA. Deposition in many Ocean Margin settings involves settling of non-cohesive grains ('sand') through a non-Newtonian suspension of colloidal ('mud') particles. Although sand or mud-only settling is well constrained, combined sand-mud settling is poorly understood. Complex particle interactions ensure sand-mud settling is not simply the addition of individual sand and mud settling behaviour. Novel experiments will develop a better understanding of sand-mud settling dynamics in the context of submarine turbidity currents, in order to predict lateral variations in mud-content and reservoir quality of their deposits (turbidites). Many of the World's largest petroleum reservoirs occur within turbidites. Results will also aid prediction of pollutant flux to the sea-floor in diverse marine settings, as pollutants are preferentially incorporated onto mud particles.

  • THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For acidity of stream water data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for acidity of stream water. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared.

  • THIS DATASET HAS BEEN WITHDRAWN **This dataset was created for the "Britain beneath our feet" atlas using information extracted from the Geochemical Baseline Survey Of The Environment (G-BASE) For The UK . For Copper in Stream Sediment data please see Geochemical Baseline Survey Of The Environment (G-BASE) For The UK ** Geochemical Baseline Survey Of The Environment (G-BASE) coverage for copper in stream sediment. The G-BASE programme involves systematic sampling and the determination of chemical elements in samples of stream sediment, stream water and, locally, soil, to build up a picture of the surface chemistry of the UK. The average sample density for stream sediments and water is about one site per 1.5-2km square. Analytical precision is high with strict quality control to ensure countrywide consistency. Results have been standardised to ensure seamless joins between geochemical sampling campaigns. The data provide baseline information on the natural abundances of elements, against which anomalous values due to such factors as mineralisation and industrial contamination may be compared. Published in Britain beneath our feet atlas.

  • This map layer shows the classification of bedrock, as mapped at 1:250 000 scale, into aquifer categories. This classification was initially undertaken to support groundwater assessments undertaken for the Water Framework Directive (2000/60/EC). The classification was produced on behalf of Northern Ireland Environment Agency (NIEA) (DoE, Northern Ireland) and is the standard classification currently used for assessing activities which may impact on groundwater resources. The classification comprises six categories of bedrock aquifer, based upon relative resource productivity and flow type. Bedrock aquifer classification categories and overview description Bedrock High potential productivity fracture flow: Bh (f): High to moderate yields probable, however dependence on fracture flow makes poorer yields possible. Generally includes element of regional flow (kms). High potential productivity fracture/intergranular flow: Bh (l to f): High to moderate yields probable, however part dependence on fracture flow makes poorer yields possible. Dual porosity. Generally includes element of regional flow. High potential productivity fracture flow with karstic element: Bh (f to k): High to moderate yields probable, however dependence on fracture flow makes poorer yields possible. Evidence of karstic flow. Generally includes element of regional flow. Moderate potential productivity fracture flow: Bm (f): High to moderate yields possible in places however dependence on fracture flow makes poorer yields possible. Potential element of regional flow, but local flow significant. Limited potential productivity fracture flow: Bl (f): Moderate yields unusual. Low yields more common. Regional flow limited. Mainly shallow, local flow. Poor potential productivity fracture flow: Bp (f): Small supplies may be possible but strata rarely exploited. Negligible regional flow. Limited local flow The classification is intended to represent general regional differences in resource potential and dominant groundwater flow mechanisms in bedrock units as mapped at 1:250 000 scale across Northern Ireland. The classification is not intended to identify, for bedrock at a specific site location, what the aquifer properties are or what the yield will be in a borehole drilled into the bedrock strata at that location. Due to natural geological variability and data availability, this map cannot and is not intended to represent actual conditions on a site specific scale. For site specific investigations more detailed geological and hydrogeological information is available from GSNI. A more detailed description of the aquifer classification methodology can be found in McConvey P J 2005. Water Framework Directive, An aquifer classification scheme for Northern Ireland, Geological Survey of Northern Ireland, Belfast. Commissioned Report pdf document. Advice on groundwater management and protection matters is available from the GSNI hydrogeologist or by contacting the Groundwater Team at NIEA. Further information on the hydrogeology of Northern Ireland is available in Hydrogeology of Northern Ireland, Robins N S (1997) and Hydrogeological Map of Northern Ireland, BGS 1994 both available from the BGS bookshop or from the GSNI office (note: the aquifer classification used on the 1994 hydrogeological published map differs from the classification shown on the GeoIndex layer). NOTE: When considering the distribution of aquifers within a certain area, reference should also be made to the superficials aquifer layer, available on this website.

  • The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. Data have been collected from the 6th July 2004 to the 29th July 2004 by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.

  • The University of Wales, Aberystwyth, 1290mhz mobile wind profiler - now referred to as the University of Manchester mobile wind profiler, was operated at the Weybourne Atmospheric Observatory during the 2nd field campaign of the Tropospheric ORganic CHemistry Experiment (TORCH) Project. The TORCH project was part of the Natural Environmental Research Council's (NERC) Polluted Troposphere research programme. The field campaign ran from 22nd April to 28th May 2004, during which period the mobile wind profiler obtained vertical profiles of the horizontal and vertical wind components. For each signal beam profiles of the signal to noise (SNR) ratio and spectral widths were also taken. The data consist of files in the netCDF binary format and plots in PNG format. Data are available to all BADC registered users under the Government Open Data licence.